from sklearn_benchmarks.reporting.hp_match import HpMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HpMatchReporting(against_lib="sklearnex", config="config.yml")
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time sklearnex. For instance, a speedup of 2 means that sklearnex is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | accuracy_score_sklearn | accuracy_score_sklearnex | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.663 | 0.687 | 0.024 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.757 | 0.742 | 0.015 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.882 | 0.875 | 0.007 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 1.000 | 0.000 | 1.000 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.882 | 0.875 | 0.007 |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 1.000 | 0.000 | 1.000 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.757 | 0.742 | 0.015 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.663 | 0.687 | 0.024 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.896 | 0.967 | 0.071 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.922 | 0.974 | 0.052 |
| 25 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.929 | 0.975 | 0.046 |
| 28 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.929 | 0.975 | 0.046 |
| 31 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.922 | 0.974 | 0.052 |
| 34 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.896 | 0.967 | 0.071 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 6.961 | 0.0 | -1 | 1 | 0.049 | 0.004 | 0.235 | 0.236 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.000 | 0.0 | -1 | 5 | 0.048 | 0.001 | 0.241 | 0.241 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | 6.851 | 0.0 | 1 | 100 | 0.048 | 0.001 | 0.242 | 0.242 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.001 | 6.549 | 0.0 | -1 | 100 | 0.048 | 0.000 | 0.255 | 0.255 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.013 | 0.000 | 6.158 | 0.0 | 1 | 5 | 0.047 | 0.001 | 0.274 | 0.274 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.017 | 0.0 | 1 | 1 | 0.048 | 0.000 | 0.238 | 0.238 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.359 | 0.0 | -1 | 1 | 0.009 | 0.000 | 0.505 | 0.505 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.367 | 0.0 | -1 | 5 | 0.009 | 0.000 | 0.512 | 0.512 | See | See |
| 24 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.374 | 0.0 | 1 | 100 | 0.009 | 0.000 | 0.498 | 0.499 | See | See |
| 27 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.363 | 0.0 | -1 | 100 | 0.009 | 0.000 | 0.510 | 0.510 | See | See |
| 30 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.362 | 0.0 | 1 | 5 | 0.009 | 0.000 | 0.516 | 0.516 | See | See |
| 33 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.363 | 0.0 | 1 | 1 | 0.009 | 0.000 | 0.519 | 0.519 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.986 | 0.161 | 0.000 | 0.002 | -1 | 1 | 0.172 | 0.004 | 11.518 | 11.522 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.025 | 0.003 | 0.000 | 0.025 | -1 | 1 | 0.009 | 0.000 | 2.858 | 2.858 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.795 | 0.034 | 0.000 | 0.003 | -1 | 5 | 0.174 | 0.004 | 16.108 | 16.112 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.026 | 0.003 | 0.000 | 0.026 | -1 | 5 | 0.009 | 0.000 | 2.845 | 2.846 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.067 | 0.005 | 0.000 | 0.002 | 1 | 100 | 0.211 | 0.004 | 9.776 | 9.778 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.022 | 0.001 | 0.000 | 0.022 | 1 | 100 | 0.009 | 0.000 | 2.557 | 2.558 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.801 | 0.044 | 0.000 | 0.003 | -1 | 100 | 0.211 | 0.004 | 13.290 | 13.292 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.026 | 0.003 | 0.000 | 0.026 | -1 | 100 | 0.009 | 0.001 | 2.913 | 2.927 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.055 | 0.003 | 0.000 | 0.002 | 1 | 5 | 0.171 | 0.000 | 11.989 | 11.989 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.022 | 0.000 | 0.000 | 0.022 | 1 | 5 | 0.009 | 0.000 | 2.516 | 2.518 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.207 | 0.009 | 0.001 | 0.001 | 1 | 1 | 0.171 | 0.001 | 7.050 | 7.050 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.001 | 0.000 | 0.021 | 1 | 1 | 0.009 | 0.000 | 2.383 | 2.383 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.786 | 0.044 | 0.000 | 0.002 | -1 | 1 | 0.026 | 0.000 | 68.969 | 68.970 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.009 | 0.005 | 0.000 | 0.009 | -1 | 1 | 0.001 | 0.000 | 12.760 | 12.851 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.656 | 0.025 | 0.000 | 0.003 | -1 | 5 | 0.027 | 0.001 | 96.934 | 97.005 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.008 | 0.006 | 0.000 | 0.008 | -1 | 5 | 0.001 | 0.000 | 11.472 | 11.519 | See | See |
| 25 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.977 | 0.003 | 0.000 | 0.002 | 1 | 100 | 0.060 | 0.002 | 32.786 | 32.801 | See | See |
| 26 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.003 | 0.000 | 0.000 | 0.003 | 1 | 100 | 0.001 | 0.000 | 4.034 | 4.050 | See | See |
| 28 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.686 | 0.026 | 0.000 | 0.003 | -1 | 100 | 0.060 | 0.000 | 44.994 | 44.995 | See | See |
| 29 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.007 | 0.004 | 0.000 | 0.007 | -1 | 100 | 0.001 | 0.000 | 9.123 | 9.198 | See | See |
| 31 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.969 | 0.004 | 0.000 | 0.002 | 1 | 5 | 0.027 | 0.000 | 73.014 | 73.017 | See | See |
| 32 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.003 | 0.000 | 0.000 | 0.003 | 1 | 5 | 0.001 | 0.000 | 4.490 | 4.511 | See | See |
| 34 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.096 | 0.005 | 0.000 | 0.001 | 1 | 1 | 0.026 | 0.000 | 42.356 | 42.357 | See | See |
| 35 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | 1 | 1 | 0.001 | 0.000 | 2.751 | 2.768 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | accuracy_score_sklearn | accuracy_score_sklearnex | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.929 | 0.910 | 0.019 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.946 | 0.941 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.951 | 0.940 | 0.011 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.951 | 0.940 | 0.011 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.946 | 0.941 | 0.005 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.929 | 0.910 | 0.019 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.891 | 0.879 | 0.012 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.911 | 0.905 | 0.006 |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.894 | 0.917 | 0.023 |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.894 | 0.917 | 0.023 |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.911 | 0.905 | 0.006 |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.891 | 0.879 | 0.012 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.261 | 0.061 | 0.025 | 0.0 | -1 | 1 | 0.771 | 0.103 | 4.231 | 4.268 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.630 | 0.069 | 0.022 | 0.0 | -1 | 5 | 0.743 | 0.015 | 4.889 | 4.890 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.622 | 0.059 | 0.022 | 0.0 | 1 | 100 | 0.730 | 0.015 | 4.964 | 4.965 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.636 | 0.073 | 0.022 | 0.0 | -1 | 100 | 0.752 | 0.019 | 4.837 | 4.838 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.617 | 0.058 | 0.022 | 0.0 | 1 | 5 | 0.738 | 0.016 | 4.898 | 4.899 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.812 | 0.073 | 0.021 | 0.0 | 1 | 1 | 0.740 | 0.010 | 5.153 | 5.154 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | 0.016 | 0.0 | -1 | 1 | 0.005 | 0.003 | 0.216 | 0.253 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.030 | 0.0 | -1 | 5 | 0.003 | 0.002 | 0.191 | 0.252 | See | See |
| 24 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.030 | 0.0 | 1 | 100 | 0.001 | 0.001 | 0.454 | 0.644 | See | See |
| 27 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.031 | 0.0 | -1 | 100 | 0.001 | 0.000 | 0.584 | 0.615 | See | See |
| 30 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.031 | 0.0 | 1 | 5 | 0.001 | 0.000 | 0.652 | 0.653 | See | See |
| 33 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.031 | 0.0 | 1 | 1 | 0.001 | 0.000 | 0.675 | 0.675 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.858 | 1.065 | 0.000 | 0.001 | -1 | 1 | 0.113 | 0.002 | 7.595 | 7.596 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 0.000 | 0.000 | 8.157 | 8.706 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.062 | 0.455 | 0.000 | 0.001 | -1 | 5 | 0.207 | 0.002 | 5.128 | 5.129 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 0.000 | 0.000 | 7.583 | 8.002 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 5.643 | 0.611 | 0.000 | 0.006 | 1 | 100 | 0.612 | 0.006 | 9.224 | 9.224 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | 1 | 100 | 0.001 | 0.000 | 4.083 | 4.296 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 3.248 | 0.218 | 0.000 | 0.003 | -1 | 100 | 0.634 | 0.008 | 5.122 | 5.122 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | 0.000 | 0.005 | -1 | 100 | 0.001 | 0.000 | 6.911 | 7.337 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.745 | 0.412 | 0.000 | 0.002 | 1 | 5 | 0.219 | 0.005 | 7.959 | 7.961 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | 0.000 | 0.002 | 1 | 5 | 0.000 | 0.000 | 3.713 | 3.955 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.955 | 0.327 | 0.000 | 0.001 | 1 | 1 | 0.112 | 0.002 | 8.540 | 8.541 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.000 | 0.000 | 3.529 | 3.764 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.027 | 0.015 | 0.001 | 0.000 | -1 | 1 | 0.000 | 0.000 | 67.088 | 68.418 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 0.000 | 0.000 | 28.925 | 30.195 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.023 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.001 | 0.000 | 36.541 | 36.567 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 5 | 0.000 | 0.000 | 24.348 | 25.237 | See | See |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.038 | 0.013 | 0.000 | 0.000 | 1 | 100 | 0.004 | 0.000 | 8.452 | 8.452 | See | See |
| 26 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 100 | 0.000 | 0.000 | 5.661 | 6.133 | See | See |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.040 | 0.008 | 0.000 | 0.000 | -1 | 100 | 0.005 | 0.001 | 7.427 | 7.612 | See | See |
| 29 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 100 | 0.000 | 0.000 | 19.893 | 21.333 | See | See |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.020 | 0.000 | 0.001 | 0.000 | 1 | 5 | 0.001 | 0.000 | 29.106 | 29.960 | See | See |
| 32 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 5 | 0.000 | 0.000 | 6.114 | 6.446 | See | See |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.019 | 0.000 | 0.001 | 0.000 | 1 | 1 | 0.000 | 0.000 | 51.293 | 51.565 | See | See |
| 35 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.000 | 0.000 | 6.265 | 6.600 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.512 | 0.082 | 30 | 0.031 | 0.0 | random | 0.379 | 0.028 | 1.350 | 1.354 | See | See |
| 3 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.554 | 0.016 | 30 | 0.029 | 0.0 | k-means++ | 0.408 | 0.026 | 1.355 | 1.358 | See | See |
| 6 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 5.681 | 0.161 | 30 | 0.141 | 0.0 | random | 2.795 | 0.047 | 2.033 | 2.033 | See | See |
| 9 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 5.886 | 0.046 | 30 | 0.136 | 0.0 | k-means++ | 2.941 | 0.024 | 2.001 | 2.001 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.002 | 0.001 | 30 | 0.010 | 0.000 | random | 0.0 | 0.0 | 9.477 | 13.978 | See | See |
| 2 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.001 | 0.000 | 30 | 0.000 | 0.001 | random | 0.0 | 0.0 | 8.921 | 13.921 | See | See |
| 4 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.002 | 0.001 | 30 | 0.010 | 0.000 | k-means++ | 0.0 | 0.0 | 12.671 | 14.320 | See | See |
| 5 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.001 | 0.000 | 30 | 0.000 | 0.001 | k-means++ | 0.0 | 0.0 | 13.437 | 14.131 | See | See |
| 7 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.475 | 0.000 | random | 0.0 | 0.0 | 6.740 | 7.236 | See | See |
| 8 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.001 | 0.000 | 30 | 0.001 | 0.001 | random | 0.0 | 0.0 | 13.358 | 14.048 | See | See |
| 10 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.496 | 0.000 | k-means++ | 0.0 | 0.0 | 6.416 | 6.847 | See | See |
| 11 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.001 | 0.000 | 30 | 0.001 | 0.001 | k-means++ | 0.0 | 0.0 | 12.651 | 13.231 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | adjusted_rand_score_sklearn | adjusted_rand_score_sklearnex | diff_adjusted_rand_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 0.000126 | -0.000965 | 0.001090 |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 0.001245 | -0.000750 | 0.001995 |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 0.278733 | 0.293767 | 0.015034 |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 0.317011 | 0.256968 | 0.060044 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | fit | 10000 | 10000 | 2 | 0.072 | 0.000 | 20 | 0.002 | 0.0 | random | 0.027 | 0.004 | 2.668 | 2.703 | See | See |
| 3 | KMeans_short | fit | 10000 | 10000 | 2 | 0.210 | 0.002 | 20 | 0.001 | 0.0 | k-means++ | 0.080 | 0.000 | 2.619 | 2.619 | See | See |
| 6 | KMeans_short | fit | 10000 | 10000 | 100 | 0.190 | 0.002 | 20 | 0.042 | 0.0 | random | 0.105 | 0.001 | 1.803 | 1.803 | See | See |
| 9 | KMeans_short | fit | 10000 | 10000 | 100 | 0.566 | 0.008 | 20 | 0.014 | 0.0 | k-means++ | 0.290 | 0.002 | 1.954 | 1.954 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.009 | 0.000 | random | 0.000 | 0.0 | 3.897 | 3.918 | See | See |
| 2 | KMeans_short | predict | 10000 | 1 | 2 | 0.001 | 0.0 | 20 | 0.000 | 0.001 | random | 0.000 | 0.0 | 12.909 | 13.248 | See | See |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.009 | 0.000 | k-means++ | 0.000 | 0.0 | 3.989 | 4.004 | See | See |
| 5 | KMeans_short | predict | 10000 | 1 | 2 | 0.001 | 0.0 | 20 | 0.000 | 0.001 | k-means++ | 0.000 | 0.0 | 13.686 | 14.135 | See | See |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 0.002 | 0.0 | 20 | 0.331 | 0.000 | random | 0.001 | 0.0 | 2.523 | 2.531 | See | See |
| 8 | KMeans_short | predict | 10000 | 1 | 100 | 0.001 | 0.0 | 20 | 0.001 | 0.001 | random | 0.000 | 0.0 | 10.753 | 10.884 | See | See |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 0.003 | 0.0 | 20 | 0.313 | 0.000 | k-means++ | 0.001 | 0.0 | 2.735 | 2.742 | See | See |
| 11 | KMeans_short | predict | 10000 | 1 | 100 | 0.001 | 0.0 | 20 | 0.001 | 0.001 | k-means++ | 0.000 | 0.0 | 9.549 | 9.665 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | function | n_samples_train | n_samples | n_features | accuracy_score_sklearn | accuracy_score_sklearnex | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | 0.56 | 0.55 | 0.01 |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | 0.35 | 0.28 | 0.07 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | fit | 1000000 | 1000000 | 100 | 11.193 | 0.452 | [20] | 0.071 | 0.000 | 2.000 | 0.030 | 5.596 | 5.597 | See | See |
| 3 | LogisticRegression | fit | 1000 | 1000 | 10000 | 1.058 | 0.896 | [26] | 0.076 | 0.001 | 0.915 | 0.033 | 1.155 | 1.156 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | [20] | 1.911 | 0.0 | 0.001 | 0.001 | 0.694 | 1.194 | See | See |
| 2 | LogisticRegression | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | [20] | 0.017 | 0.0 | 0.000 | 0.000 | 0.349 | 0.356 | See | See |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | 0.002 | 0.0 | [26] | 4.897 | 0.0 | 0.004 | 0.001 | 0.459 | 0.496 | See | See |
| 5 | LogisticRegression | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | [26] | 1.182 | 0.0 | 0.001 | 0.000 | 0.100 | 0.101 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | function | n_samples_train | n_samples | n_features | r2_score_sklearn | r2_score_sklearnex | diff_r2_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | 0.082567 | 0.122191 | 0.039624 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | fit | 1000 | 1000 | 10000 | 0.177 | 0.004 | 0.453 | 0.0 | 0.185 | 0.002 | 0.954 | 0.955 | See | See |
| 3 | Ridge | fit | 1000000 | 1000000 | 100 | 1.143 | 0.054 | 0.700 | 0.0 | 0.314 | 0.271 | 3.638 | 4.804 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | 0.012 | 0.0 | 6.890 | 0.0 | 0.019 | 0.0 | 0.600 | 0.600 | See | See |
| 2 | Ridge | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | 1.398 | 0.0 | 0.000 | 0.0 | 0.598 | 0.647 | See | See |
| 4 | Ridge | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | 5.448 | 0.0 | 0.000 | 0.0 | 0.459 | 0.712 | See | See |
| 5 | Ridge | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | 0.017 | 0.0 | 0.000 | 0.0 | 0.584 | 0.616 | See | See |